Thesis (M.S.)--Rochester Institute of Technology, 1994. / Typescript. Includes bibliographical references.

Thesis (M.E.)--University of Canterbury, 2009. / Typescript (photocopy). "June 2009." Includes bibliographical references (p. 149-156). Also available via the World Wide Web.

Thesis (M.S.)--Rochester Institute of Technology, 1986. / Typescript. Includes bibliographical references (leaf 40).

Thesis (M.S.)--Virginia Polytechnic Institute and State University, 1992. / Vita. Abstract. Includes bibliographical references (leaves 70-72). Also available via the Internet.

Thesis (M.S.)--West Virginia University, 2005. / Title from document title page. Document formatted into pages; contains vii, 99 p. : ill. (some col.). Includes abstract. Includes bibliographical references (p. 72-74).

Thesis (M.A.)--Boston University / PLEASE NOTE: Boston University Libraries did not receive an Authorization To Manage form for this thesis or dissertation. It is therefore not openly accessible, though it may be available by request. If you are the author or principal advisor of this work and would like to request open access for it, please contact us at open-help@bu.edu. Thank you. / Recently, many studies have used T1 and T2 quantitative MRI in examining the brain and other body structures, to evaluate and follow up diseases, or simply for better understanding of the human body. Quality control on MRI scanners has been performed since the early eighties and nowadays the ACR MRI phantom is being used for the accreditation of the scanners, and quality control of their qualitative performance. In this study the same phantom is being used to obtain quantitative values of three regions in the phantom that might be used as reference for quantitative quality control. The results of the scans provided quantitative values that can be used as reference for the quality control of qMRI, and there was no difference after scanning the same regions twice. Further study is recommended to provide quantitative values for different MRI scanners strength to assure the use of ACR phantom as a tool for quality control of qMRI scanners. / 2031-01-02

Thesis (Sc.D.)--Massachusetts Institute of Technology, Dept. of Nuclear Engineering. / MICROFICHE COPY AVAILABLE IN ARCHIVES AND SCIENCE. / Vita. / Bibliography: leaves 530-553. / by David Bruce Laning. / Sc.D.

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Laser Measurement Systems (LMS) are used in autonomous agricultural vehicles for guidance and obstacle detection purposes. In the particular case of agricultural vehicles, the efficiency of LMS measurements is affected by mechanical vibrations induced by the operation of these machines on uneven terrains. The objective of this study was to evaluate the effectiveness of a mounting system capable of reducing the transmission of mechanical vibrations to an LMS sensor installed on an agricultural tractor for the purpose of improving the detection accuracy of obstacles during field operation. A stabilization system (SS) was designed for a SICK LMS 291-S14 scanner. The LMS sensor and the SS were installed on an agricultural tractor to scan four objects positioned at known locations in the field. An experimental analysis was carried out to evaluate the detection accuracy of the LMS sensor under different operating conditions: with and without SS; with and without support bars (S); and for different types of terrains (in terms of roughness) and field operating speed. The detection accuracy of the LMS sensor was assessed by determining the difference between the known location of the four objects and their corresponding estimated location from the LMS measurements. The increase of tractor speed had a negative effect on the accuracy of the LMS sensor with an increase in the positioning error of up to 75%. However, it was not possible to establish a clear relationship between terrain roughness and the accuracy of the LMS sensor. The addition of the S systems positively affected the accuracy of the LMS sensor and resulted in a 41% decrease of the average positioning error from 0.340 to 0.201 m. Finally, the used of the SS mounting system decreased the average positioning error by 57% from 0.382 to 0.161 m. These experimental results confirmed the effectiveness of the joint use of the SS and S mounting systems in improving the accuracy of the LMS sensor mounted on an agricultural tractor through a reduction in transmitted vibrations.